Ravi Teja Mullapudi

About

Ravi Teja Mullapudi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Ravi Teja Mullapudi has authored 8 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Hardware and Architecture. Recurrent topics in Ravi Teja Mullapudi’s work include Domain Adaptation and Few-Shot Learning (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Ravi Teja Mullapudi is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Ravi Teja Mullapudi collaborates with scholars based in United States and India. Ravi Teja Mullapudi's co-authors include Kayvon Fatahalian, Uday Bondhugula, Dillon Sharlet, Andrew Adams, Jonathan Ragan‐Kelley, Deva Ramanan, Keyi Zhang, Steven Chen, William R. Mark and Nimit S. Sohoni and has published in prestigious journals such as ACM Transactions on Graphics, ACM SIGPLAN Notices and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Ravi Teja Mullapudi i

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Fields of papers citing papers by Ravi Teja Mullapudi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ravi Teja Mullapudi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ravi Teja Mullapudi. The network helps show where Ravi Teja Mullapudi may publish in the future.

Countries citing papers authored by Ravi Teja Mullapudi

Since Specialization

Citations

This map shows the geographic impact of Ravi Teja Mullapudi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ravi Teja Mullapudi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Teja Mullapudi more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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